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What is awesome-bio-agent-skills?

biotender-max/awesome-bio-agent-skills — explained in plain English

Analysis updated 2026-05-18

25PythonAudience · researcherComplexity · 3/5LicenseSetup · moderate

In one sentence

A curated index of 1,676 reusable AI-agent skill modules for biomedical research, organized into 15 categories like genomics and proteomics.

Mindmap

mindmap
  root((repo))
    What it does
      Curated AI agent skills
      Biomedical research index
      1676 modules
    Tech stack
      Python
      Claude agents
      samtools Biopython
    Use cases
      Load genomics skills
      Browse proteomics tools
      Build agent pipelines
    Audience
      Bioinformatics researchers
    Caveats
      Not a standalone tool
      Requires an agent framework

Code map

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What do people build with it?

USE CASE 1

Give a Claude-based agent framework (OpenClaw, NanoClaw, Biomni) a specific bioinformatics skill to load for a task.

USE CASE 2

Browse curated skills for genomics, proteomics, single-cell analysis, or other life sciences categories.

USE CASE 3

Reference standardized SKILL.md files describing when and how to invoke bioinformatics tools like samtools or MAFFT.

USE CASE 4

Build a modular AI agent pipeline for biomedical research without carrying every skill at once.

What is it built with?

PythonClaude agentssamtoolsBiopython

How does it compare?

biotender-max/awesome-bio-agent-skillsalexrosbach/replibookarlandaren/proagents
Stars252525
LanguagePythonPythonPython
Setup difficultymoderateeasyeasy
Complexity3/52/51/5
Audienceresearcherops devopsvibe coder

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires a compatible Claude-based agent framework (OpenClaw, NanoClaw, or Biomni) to actually use the skills.

So what is it?

Awesome Bio Agent Skills is a curated index of 1,676 reusable knowledge modules for AI agents working in biomedical research. The skills were gathered and deduplicated from 20 open-source repositories, then organized into 15 subject categories. Each entry is a self-contained folder with a standardized SKILL.md file, built to work with Claude-based agent frameworks such as OpenClaw, NanoClaw, and Biomni. The 15 categories span a wide range of life sciences tasks. Genomics is the largest, with over 500 skills covering whole-genome and whole-exome sequencing workflows, variant annotation, and genome assembly. Other categories include proteomics, single-cell analysis, transcriptomics, epigenomics, metagenomics, and protein design. There are also more utility-oriented categories for database queries, multi-omics data integration, bioinformatics command-line tools, visualization, and workflow orchestration. The skills are designed to be modular: an AI agent can load only the ones relevant to a given task rather than carrying all of them at once. Each skill folder describes what the skill does, when to use it, and how to invoke the relevant tools or libraries. The underlying tools referenced vary by category and include well-established bioinformatics software such as samtools, MAFFT, MACS3, and Biopython. The project follows the conventions of an awesome-list, a community format for collecting links and references to quality resources in a given field. It includes automated linting via GitHub Actions to keep entries consistently formatted. The license is CC0, meaning the contents are placed in the public domain. This repository is primarily useful to researchers or developers building AI agents that assist with bioinformatics analysis pipelines. It is not a standalone tool and does not run analyses itself. The full README is longer than what was shown.

Copy-paste prompts

Prompt 1
Which genomics skills in this index would help with variant annotation workflows?
Prompt 2
Explain how a SKILL.md file is structured and what it tells an AI agent.
Prompt 3
Help me find the right skill category for a single-cell analysis task.
Prompt 4
How do OpenClaw, NanoClaw, or Biomni load and use skills from this index?

Frequently asked questions

What is awesome-bio-agent-skills?

A curated index of 1,676 reusable AI-agent skill modules for biomedical research, organized into 15 categories like genomics and proteomics.

What language is awesome-bio-agent-skills written in?

Mainly Python. The stack also includes Python, Claude agents, samtools.

How hard is awesome-bio-agent-skills to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is awesome-bio-agent-skills for?

Mainly researcher.

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